Database Reference
In-Depth Information
hadoop jar c:\mahout\mahout-core-0.7-job.jar
org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
-s SIMILARITY_PEARSON_CORRELATION
--input=/user/<YOUR USERNAME>/chapter15/
input/MovieRatings.csv
--output=/user/<YOUR USERNAME>/chapter15/
output/
userrecommendations
NOTE
The preceding command assumes that you have placed the Mahout files
in a local directory called
c:\Mahout
. If your files are located in
another directory, adjust the command so that the path to the Mahout
*.
jar
files is correct before using the command.
The
RecommenderJob
is a prebuilt jar that accepts multiple arguments.
At a minimum, you must specify the similarity metric that will be used to
determine similarity between users, your input data file, and the path for
your recommendation job output.
A number of other job parameters control how the
RecommenderJob
behaves and will allow you to customize it without investing time or effort in
coding.
Table 12.3
describes these additional job parameters.
